Pandas Profiling Report

Dataset statistics

Number of variables	28
Number of observations	22568
Missing cells	22568
Missing cells (%)	3.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	5.0 MiB
Average record size in memory	232.0 B

Variable types

Categorical	11
DateTime	1
TimeSeries	15
Numeric	1

Timeseries statistics

Number of series	15
Time series length	22568
Starting point	2000-01-01 00:00:00
Ending point	2015-12-31 00:00:00
Period	6 hours, 12 minutes and 51.01 seconds

Original
Scaled

Alerts

`State Code` has constant value "4"	Constant
`County Code` has constant value "13"	Constant
`Site Num` has constant value "3002"	Constant
`Address` has constant value "1645 E ROOSEVELT ST-CENTRAL PHOENIX STN"	Constant
`State` has constant value "Arizona"	Constant
`County` has constant value "Maricopa"	Constant
`City` has constant value "Phoenix"	Constant
`NO2 Units` has constant value "Parts per billion"	Constant
`O3 Units` has constant value "Parts per million"	Constant
`SO2 Units` has constant value "Parts per billion"	Constant
`CO Units` has constant value "Parts per million"	Constant
`CO 1st Max Value` is highly overall correlated with `CO AQI` and 8 other fields	High correlation
`CO AQI` is highly overall correlated with `CO 1st Max Value` and 10 other fields	High correlation
`CO Mean` is highly overall correlated with `CO 1st Max Value` and 9 other fields	High correlation
`NO2 1st Max Value` is highly overall correlated with `CO 1st Max Value` and 6 other fields	High correlation
`NO2 AQI` is highly overall correlated with `CO 1st Max Value` and 6 other fields	High correlation
`NO2 Mean` is highly overall correlated with `CO 1st Max Value` and 8 other fields	High correlation
`O3 1st Max Value` is highly overall correlated with `CO AQI` and 2 other fields	High correlation
`O3 AQI` is highly overall correlated with `CO AQI` and 3 other fields	High correlation
`O3 Mean` is highly overall correlated with `CO 1st Max Value` and 7 other fields	High correlation
`SO2 1st Max Value` is highly overall correlated with `CO 1st Max Value` and 8 other fields	High correlation
`SO2 AQI` is highly overall correlated with `CO 1st Max Value` and 8 other fields	High correlation
`SO2 Mean` is highly overall correlated with `CO 1st Max Value` and 5 other fields	High correlation
`SO2 AQI` has 11281 (50.0%) missing values	Missing
`CO AQI` has 11287 (50.0%) missing values	Missing
`NO2 Mean` is non stationary	Non stationary
`NO2 1st Max Value` is non stationary	Non stationary
`NO2 1st Max Hour` is non stationary	Non stationary
`NO2 AQI` is non stationary	Non stationary
`O3 Mean` is non stationary	Non stationary
`O3 1st Max Value` is non stationary	Non stationary
`O3 1st Max Hour` is non stationary	Non stationary
`O3 AQI` is non stationary	Non stationary
`SO2 Mean` is non stationary	Non stationary
`SO2 1st Max Value` is non stationary	Non stationary
`SO2 1st Max Hour` is non stationary	Non stationary
`SO2 AQI` is non stationary	Non stationary
`CO Mean` is non stationary	Non stationary
`CO 1st Max Value` is non stationary	Non stationary
`CO AQI` is non stationary	Non stationary
`NO2 Mean` is seasonal	Seasonal
`NO2 1st Max Value` is seasonal	Seasonal
`NO2 1st Max Hour` is seasonal	Seasonal
`NO2 AQI` is seasonal	Seasonal
`O3 Mean` is seasonal	Seasonal
`O3 1st Max Value` is seasonal	Seasonal
`O3 1st Max Hour` is seasonal	Seasonal
`O3 AQI` is seasonal	Seasonal
`SO2 Mean` is seasonal	Seasonal
`SO2 1st Max Value` is seasonal	Seasonal
`SO2 1st Max Hour` is seasonal	Seasonal
`SO2 AQI` is seasonal	Seasonal
`CO Mean` is seasonal	Seasonal
`CO 1st Max Value` is seasonal	Seasonal
`CO AQI` is seasonal	Seasonal
`NO2 1st Max Hour` has 3220 (14.3%) zeros	Zeros
`SO2 Mean` has 708 (3.1%) zeros	Zeros
`SO2 1st Max Value` has 708 (3.1%) zeros	Zeros
`SO2 1st Max Hour` has 2732 (12.1%) zeros	Zeros
`SO2 AQI` has 384 (1.7%) zeros	Zeros
`CO 1st Max Hour` has 4213 (18.7%) zeros	Zeros

Reproduction

Analysis started	2024-05-07 15:04:57.385644
Analysis finished	2024-05-07 15:05:46.232682
Duration	48.85 seconds
Software version	ydata-profiling v0.0.dev0
Download configuration	config.json

State Code
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.6 KiB

4	22568

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	22568
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	4
3rd row	4
4th row	4
5th row	4

Common Values

Value	Count	Frequency (%)
4	22568	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
4	22568	100.0%

Most occurring characters

Value	Count	Frequency (%)
4	22568	100.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	22568	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
4	22568	100.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	22568	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
4	22568	100.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	22568	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
4	22568	100.0%

County Code
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.6 KiB

13	22568

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	45136
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	13
2nd row	13
3rd row	13
4th row	13
5th row	13

Common Values

Value	Count	Frequency (%)
13	22568	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
13	22568	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	22568	50.0%
3	22568	50.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45136	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	22568	50.0%
3	22568	50.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45136	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	22568	50.0%
3	22568	50.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45136	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	22568	50.0%
3	22568	50.0%

Site Num
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.6 KiB

3002	22568

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	90272
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3002
2nd row	3002
3rd row	3002
4th row	3002
5th row	3002

Common Values

Value	Count	Frequency (%)
3002	22568	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3002	22568	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	45136	50.0%
3	22568	25.0%
2	22568	25.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	90272	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	45136	50.0%
3	22568	25.0%
2	22568	25.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	90272	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	45136	50.0%
3	22568	25.0%
2	22568	25.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	90272	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	45136	50.0%
3	22568	25.0%
2	22568	25.0%

Address
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.6 KiB

1645 E ROOSEVELT ST-CENTRAL PHOENIX STN	22568

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	880152
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1645 E ROOSEVELT ST-CENTRAL PHOENIX STN
2nd row	1645 E ROOSEVELT ST-CENTRAL PHOENIX STN
3rd row	1645 E ROOSEVELT ST-CENTRAL PHOENIX STN
4th row	1645 E ROOSEVELT ST-CENTRAL PHOENIX STN
5th row	1645 E ROOSEVELT ST-CENTRAL PHOENIX STN

Common Values

Value	Count	Frequency (%)
1645 E ROOSEVELT ST-CENTRAL PHOENIX STN	22568	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1645	22568	16.7%
e	22568	16.7%
roosevelt	22568	16.7%
st-central	22568	16.7%
phoenix	22568	16.7%
stn	22568	16.7%

Most occurring characters

Value	Count	Frequency (%)
	112840	12.8%
E	112840	12.8%
T	90272	10.3%
O	67704	7.7%
S	67704	7.7%
N	67704	7.7%
L	45136	5.1%
R	45136	5.1%
C	22568	2.6%
I	22568	2.6%
Other values (10)	225680	25.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	880152	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	112840	12.8%
E	112840	12.8%
T	90272	10.3%
O	67704	7.7%
S	67704	7.7%
N	67704	7.7%
L	45136	5.1%
R	45136	5.1%
C	22568	2.6%
I	22568	2.6%
Other values (10)	225680	25.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	880152	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	112840	12.8%
E	112840	12.8%
T	90272	10.3%
O	67704	7.7%
S	67704	7.7%
N	67704	7.7%
L	45136	5.1%
R	45136	5.1%
C	22568	2.6%
I	22568	2.6%
Other values (10)	225680	25.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	880152	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	112840	12.8%
E	112840	12.8%
T	90272	10.3%
O	67704	7.7%
S	67704	7.7%
N	67704	7.7%
L	45136	5.1%
R	45136	5.1%
C	22568	2.6%
I	22568	2.6%
Other values (10)	225680	25.6%

State
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.6 KiB

Arizona	22568

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	157976
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Arizona
2nd row	Arizona
3rd row	Arizona
4th row	Arizona
5th row	Arizona

Common Values

Value	Count	Frequency (%)
Arizona	22568	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
arizona	22568	100.0%

Most occurring characters

Value	Count	Frequency (%)
A	22568	14.3%
r	22568	14.3%
i	22568	14.3%
z	22568	14.3%
o	22568	14.3%
n	22568	14.3%
a	22568	14.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	157976	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	22568	14.3%
r	22568	14.3%
i	22568	14.3%
z	22568	14.3%
o	22568	14.3%
n	22568	14.3%
a	22568	14.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	157976	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	22568	14.3%
r	22568	14.3%
i	22568	14.3%
z	22568	14.3%
o	22568	14.3%
n	22568	14.3%
a	22568	14.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	157976	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	22568	14.3%
r	22568	14.3%
i	22568	14.3%
z	22568	14.3%
o	22568	14.3%
n	22568	14.3%
a	22568	14.3%

County
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.6 KiB

Maricopa	22568

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	180544
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Maricopa
2nd row	Maricopa
3rd row	Maricopa
4th row	Maricopa
5th row	Maricopa

Common Values

Value	Count	Frequency (%)
Maricopa	22568	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
maricopa	22568	100.0%

Most occurring characters

Value	Count	Frequency (%)
a	45136	25.0%
M	22568	12.5%
r	22568	12.5%
i	22568	12.5%
c	22568	12.5%
o	22568	12.5%
p	22568	12.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	180544	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	45136	25.0%
M	22568	12.5%
r	22568	12.5%
i	22568	12.5%
c	22568	12.5%
o	22568	12.5%
p	22568	12.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	180544	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	45136	25.0%
M	22568	12.5%
r	22568	12.5%
i	22568	12.5%
c	22568	12.5%
o	22568	12.5%
p	22568	12.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	180544	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	45136	25.0%
M	22568	12.5%
r	22568	12.5%
i	22568	12.5%
c	22568	12.5%
o	22568	12.5%
p	22568	12.5%

City
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.6 KiB

Phoenix	22568

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	157976
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Phoenix
2nd row	Phoenix
3rd row	Phoenix
4th row	Phoenix
5th row	Phoenix

Common Values

Value	Count	Frequency (%)
Phoenix	22568	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
phoenix	22568	100.0%

Most occurring characters

Value	Count	Frequency (%)
P	22568	14.3%
h	22568	14.3%
o	22568	14.3%
e	22568	14.3%
n	22568	14.3%
i	22568	14.3%
x	22568	14.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	157976	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
P	22568	14.3%
h	22568	14.3%
o	22568	14.3%
e	22568	14.3%
n	22568	14.3%
i	22568	14.3%
x	22568	14.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	157976	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
P	22568	14.3%
h	22568	14.3%
o	22568	14.3%
e	22568	14.3%
n	22568	14.3%
i	22568	14.3%
x	22568	14.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	157976	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
P	22568	14.3%
h	22568	14.3%
o	22568	14.3%
e	22568	14.3%
n	22568	14.3%
i	22568	14.3%
x	22568	14.3%

Date Local
Date

Distinct	5646
Distinct (%)	25.0%
Missing	0
Missing (%)	0.0%
Memory size	352.6 KiB

Minimum	2000-01-01 00:00:00
Maximum	2015-12-31 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

NO2 Units
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.6 KiB

Parts per billion	22568

Length

Max length	17
Median length	17
Mean length	17
Min length	17

Characters and Unicode

Total characters	383656
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Parts per billion
2nd row	Parts per billion
3rd row	Parts per billion
4th row	Parts per billion
5th row	Parts per billion

Common Values

Value	Count	Frequency (%)
Parts per billion	22568	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
parts	22568	33.3%
per	22568	33.3%
billion	22568	33.3%

Most occurring characters

Value	Count	Frequency (%)
r	45136	11.8%
	45136	11.8%
i	45136	11.8%
l	45136	11.8%
P	22568	5.9%
a	22568	5.9%
t	22568	5.9%
s	22568	5.9%
p	22568	5.9%
e	22568	5.9%
Other values (3)	67704	17.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	383656	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	45136	11.8%
	45136	11.8%
i	45136	11.8%
l	45136	11.8%
P	22568	5.9%
a	22568	5.9%
t	22568	5.9%
s	22568	5.9%
p	22568	5.9%
e	22568	5.9%
Other values (3)	67704	17.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	383656	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	45136	11.8%
	45136	11.8%
i	45136	11.8%
l	45136	11.8%
P	22568	5.9%
a	22568	5.9%
t	22568	5.9%
s	22568	5.9%
p	22568	5.9%
e	22568	5.9%
Other values (3)	67704	17.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	383656	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	45136	11.8%
	45136	11.8%
i	45136	11.8%
l	45136	11.8%
P	22568	5.9%
a	22568	5.9%
t	22568	5.9%
s	22568	5.9%
p	22568	5.9%
e	22568	5.9%
Other values (3)	67704	17.6%

NO2 Mean
Numeric time series

HIGH CORRELATION NON STATIONARY SEASONAL

Distinct	2029
Distinct (%)	9.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	23.423615
Minimum	0.52381
Maximum	73.285714
Zeros	0
Zeros (%)	0.0%
Memory size	352.6 KiB

Quantile statistics

Minimum	0.52381
5-th percentile	8.041667
Q1	15.541667
median	22.952381
Q3	30.521739
95-th percentile	40.375
Maximum	73.285714
Range	72.761904
Interquartile range (IQR)	14.980072

Descriptive statistics

Standard deviation	10.140947
Coefficient of variation (CV)	0.43293691
Kurtosis	-0.2114701
Mean	23.423615
Median Absolute Deviation (MAD)	7.494048
Skewness	0.30076624
Sum	528624.14
Variance	102.83882
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	4.613554701 × 10^-13

Histogram with fixed size bins (bins=50)

Gap statistics

number of gaps	29
min	3 days
max	8 weeks and 6 days
mean	1 week, 8 hours and 16 minutes
std	1 week, 3 days and 19 hours

Value	Count	Frequency (%)
16.125	56	0.2%
20.875	52	0.2%
15.583333	52	0.2%
24.083333	52	0.2%
22.166667	48	0.2%
21.25	48	0.2%
17	48	0.2%
24.25	48	0.2%
15.166667	48	0.2%
27.541667	44	0.2%
Other values (2019)	22072	97.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.52381	4	< 0.1%
0.8	8	< 0.1%
0.842105	4	< 0.1%
1.181818	4	< 0.1%
1.270833	4	< 0.1%
1.383333	4	< 0.1%
1.458333	4	< 0.1%
1.554167	4	< 0.1%
1.704167	4	< 0.1%
1.854167	4	< 0.1%

Value	Count	Frequency (%)
73.285714	4	< 0.1%
67.090909	4	< 0.1%
66.791667	4	< 0.1%
66.541667	4	< 0.1%
59.25	4	< 0.1%
59.041667	4	< 0.1%
58	4	< 0.1%
57.863636	4	< 0.1%
57.833333	4	< 0.1%
56.045455	4	< 0.1%

ACF and PACF

NO2 1st Max Value
Numeric time series

HIGH CORRELATION NON STATIONARY SEASONAL

Distinct	119
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	44.745108
Minimum	1.9
Maximum	124
Zeros	0
Zeros (%)	0.0%
Memory size	352.6 KiB

Quantile statistics

Minimum	1.9
5-th percentile	20
Q1	36
median	45
Q3	54
95-th percentile	67
Maximum	124
Range	122.1
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	14.181022
Coefficient of variation (CV)	0.31692899
Kurtosis	0.46735049
Mean	44.745108
Median Absolute Deviation (MAD)	9
Skewness	-0.081769914
Sum	1009807.6
Variance	201.10139
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	4.501673973 × 10^-19

Histogram with fixed size bins (bins=50)

Gap statistics

number of gaps	29
min	3 days
max	8 weeks and 6 days
mean	1 week, 8 hours and 16 minutes
std	1 week, 3 days and 19 hours

Value	Count	Frequency (%)
45	720	3.2%
47	720	3.2%
51	704	3.1%
50	678	3.0%
46	676	3.0%
44	676	3.0%
48	664	2.9%
43	644	2.9%
54	642	2.8%
49	640	2.8%
Other values (109)	15804	70.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.9	4	< 0.1%
2	4	< 0.1%
3	4	< 0.1%
3.2	4	< 0.1%
3.4	4	< 0.1%
3.7	4	< 0.1%
3.8	4	< 0.1%
4	8	< 0.1%
4.3	4	< 0.1%
4.6	4	< 0.1%

Value	Count	Frequency (%)
124	4	< 0.1%
117	4	< 0.1%
116	4	< 0.1%
106	4	< 0.1%
101	8	< 0.1%
95	4	< 0.1%
94	4	< 0.1%
92	4	< 0.1%
89	4	< 0.1%
88	4	< 0.1%

ACF and PACF

NO2 1st Max Hour
Numeric time series

NON STATIONARY SEASONAL ZEROS

Distinct	24
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	13.268256
Minimum	0
Maximum	23
Zeros	3220
Zeros (%)	14.3%
Memory size	352.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	5
median	19
Q3	21
95-th percentile	23
Maximum	23
Range	23
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	8.7551338
Coefficient of variation (CV)	0.65985566
Kurtosis	-1.5848044
Mean	13.268256
Median Absolute Deviation (MAD)	3
Skewness	-0.4069905
Sum	299438
Variance	76.652368
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	2.616565061 × 10^-28

Histogram with fixed size bins (bins=24)

Gap statistics

number of gaps	29
min	3 days
max	8 weeks and 6 days
mean	1 week, 8 hours and 16 minutes
std	1 week, 3 days and 19 hours

Value	Count	Frequency (%)
0	3220	14.3%
20	3168	14.0%
21	2854	12.6%
22	2128	9.4%
19	2108	9.3%
23	1516	6.7%
6	1374	6.1%
5	1252	5.5%
18	944	4.2%
1	792	3.5%
Other values (14)	3212	14.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3220	14.3%
1	792	3.5%
2	368	1.6%
3	328	1.5%
4	484	2.1%
5	1252	5.5%
6	1374	6.1%
7	724	3.2%
8	500	2.2%
9	316	1.4%

Value	Count	Frequency (%)
23	1516	6.7%
22	2128	9.4%
21	2854	12.6%
20	3168	14.0%
19	2108	9.3%
18	944	4.2%
17	140	0.6%
16	36	0.2%
15	28	0.1%
14	16	0.1%

ACF and PACF

NO2 AQI
Numeric time series

HIGH CORRELATION NON STATIONARY SEASONAL

Distinct	93
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	42.433357
Minimum	1
Maximum	105
Zeros	0
Zeros (%)	0.0%
Memory size	352.6 KiB

Quantile statistics

Minimum	1
5-th percentile	19
Q1	34
median	42
Q3	51
95-th percentile	65
Maximum	105
Range	104
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	13.760116
Coefficient of variation (CV)	0.32427593
Kurtosis	0.44346329
Mean	42.433357
Median Absolute Deviation (MAD)	9
Skewness	0.013623845
Sum	957636
Variance	189.3408
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	4.052713506 × 10^-19

Histogram with fixed size bins (bins=50)

Gap statistics

number of gaps	29
min	3 days
max	8 weeks and 6 days
mean	1 week, 8 hours and 16 minutes
std	1 week, 3 days and 19 hours

Value	Count	Frequency (%)
42	1396	6.2%
44	720	3.2%
48	704	3.1%
47	678	3.0%
43	676	3.0%
45	664	2.9%
41	644	2.9%
51	642	2.8%
46	640	2.8%
39	612	2.7%
Other values (83)	15192	67.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	4	< 0.1%
2	4	< 0.1%
3	20	0.1%
4	24	0.1%
5	28	0.1%
6	8	< 0.1%
7	24	0.1%
8	48	0.2%
9	40	0.2%
10	60	0.3%

Value	Count	Frequency (%)
105	4	< 0.1%
104	8	< 0.1%
102	4	< 0.1%
101	8	< 0.1%
95	4	< 0.1%
94	4	< 0.1%
91	4	< 0.1%
88	4	< 0.1%
87	4	< 0.1%
86	12	0.1%

ACF and PACF

O3 Units
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.6 KiB

Parts per million	22568

Length

Max length	17
Median length	17
Mean length	17
Min length	17

Characters and Unicode

Total characters	383656
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Parts per million
2nd row	Parts per million
3rd row	Parts per million
4th row	Parts per million
5th row	Parts per million

Common Values

Value	Count	Frequency (%)
Parts per million	22568	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
parts	22568	33.3%
per	22568	33.3%
million	22568	33.3%

Most occurring characters

Value	Count	Frequency (%)
r	45136	11.8%
	45136	11.8%
i	45136	11.8%
l	45136	11.8%
P	22568	5.9%
a	22568	5.9%
t	22568	5.9%
s	22568	5.9%
p	22568	5.9%
e	22568	5.9%
Other values (3)	67704	17.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	383656	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	45136	11.8%
	45136	11.8%
i	45136	11.8%
l	45136	11.8%
P	22568	5.9%
a	22568	5.9%
t	22568	5.9%
s	22568	5.9%
p	22568	5.9%
e	22568	5.9%
Other values (3)	67704	17.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	383656	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	45136	11.8%
	45136	11.8%
i	45136	11.8%
l	45136	11.8%
P	22568	5.9%
a	22568	5.9%
t	22568	5.9%
s	22568	5.9%
p	22568	5.9%
e	22568	5.9%
Other values (3)	67704	17.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	383656	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	45136	11.8%
	45136	11.8%
i	45136	11.8%
l	45136	11.8%
P	22568	5.9%
a	22568	5.9%
t	22568	5.9%
s	22568	5.9%
p	22568	5.9%
e	22568	5.9%
Other values (3)	67704	17.6%

O3 Mean
Numeric time series

HIGH CORRELATION NON STATIONARY SEASONAL

Distinct	1238
Distinct (%)	5.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.023885065
Minimum	0.001
Maximum	0.063167
Zeros	0
Zeros (%)	0.0%
Memory size	352.6 KiB

Quantile statistics

Minimum	0.001
5-th percentile	0.006875
Q1	0.014625
median	0.023542
Q3	0.032208
95-th percentile	0.043125
Maximum	0.063167
Range	0.062167
Interquartile range (IQR)	0.017583

Descriptive statistics

Standard deviation	0.011318776
Coefficient of variation (CV)	0.47388511
Kurtosis	-0.66123486
Mean	0.023885065
Median Absolute Deviation (MAD)	0.008833
Skewness	0.24381558
Sum	539.03814
Variance	0.0001281147
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	1.201841185 × 10^-7

Histogram with fixed size bins (bins=50)

Gap statistics

number of gaps	29
min	3 days
max	8 weeks and 6 days
mean	1 week, 8 hours and 16 minutes
std	1 week, 3 days and 19 hours

Value	Count	Frequency (%)
0.029375	76	0.3%
0.015458	60	0.3%
0.014625	60	0.3%
0.023542	56	0.2%
0.028625	56	0.2%
0.024958	56	0.2%
0.011667	52	0.2%
0.029333	52	0.2%
0.030583	52	0.2%
0.009083	52	0.2%
Other values (1228)	21996	97.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.001	8	< 0.1%
0.001545	4	< 0.1%
0.001611	4	< 0.1%
0.001667	8	< 0.1%
0.00175	4	< 0.1%
0.001833	4	< 0.1%
0.001917	4	< 0.1%
0.002	8	< 0.1%
0.002042	4	< 0.1%
0.002333	4	< 0.1%

Value	Count	Frequency (%)
0.063167	4	< 0.1%
0.058333	4	< 0.1%
0.056625	4	< 0.1%
0.056375	4	< 0.1%
0.056333	4	< 0.1%
0.055833	4	< 0.1%
0.055708	4	< 0.1%
0.055083	4	< 0.1%
0.055042	4	< 0.1%
0.055	4	< 0.1%

ACF and PACF

O3 1st Max Value
Numeric time series

HIGH CORRELATION NON STATIONARY SEASONAL

Distinct	86
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.043149061
Minimum	0.001
Maximum	0.089
Zeros	0
Zeros (%)	0.0%
Memory size	352.6 KiB

Quantile statistics

Minimum	0.001
5-th percentile	0.016
Q1	0.033
median	0.044
Q3	0.054
95-th percentile	0.066
Maximum	0.089
Range	0.088
Interquartile range (IQR)	0.021

Descriptive statistics

Standard deviation	0.015281374
Coefficient of variation (CV)	0.35415311
Kurtosis	-0.43241989
Mean	0.043149061
Median Absolute Deviation (MAD)	0.011
Skewness	-0.22490322
Sum	973.788
Variance	0.00023352039
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	2.273232853 × 10^-7

Histogram with fixed size bins (bins=50)

Gap statistics

number of gaps	29
min	3 days
max	8 weeks and 6 days
mean	1 week, 8 hours and 16 minutes
std	1 week, 3 days and 19 hours

Value	Count	Frequency (%)
0.048	630	2.8%
0.054	592	2.6%
0.044	588	2.6%
0.047	584	2.6%
0.053	580	2.6%
0.05	576	2.6%
0.04	576	2.6%
0.051	576	2.6%
0.046	568	2.5%
0.049	568	2.5%
Other values (76)	16730	74.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.001	8	< 0.1%
0.002	4	< 0.1%
0.003	36	0.2%
0.004	16	0.1%
0.005	32	0.1%
0.006	44	0.2%
0.007	48	0.2%
0.008	84	0.4%
0.009	80	0.4%
0.01	88	0.4%

Value	Count	Frequency (%)
0.089	4	< 0.1%
0.088	4	< 0.1%
0.084	8	< 0.1%
0.083	8	< 0.1%
0.082	8	< 0.1%
0.081	20	0.1%
0.08	12	0.1%
0.079	20	0.1%
0.078	28	0.1%
0.077	36	0.2%

ACF and PACF

O3 1st Max Hour
Numeric time series

NON STATIONARY SEASONAL

Distinct	22
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	10.30911
Minimum	0
Maximum	23
Zeros	128
Zeros (%)	0.6%
Memory size	352.6 KiB

Quantile statistics

Minimum	0
5-th percentile	9
Q1	10
median	10
Q3	11
95-th percentile	12
Maximum	23
Range	23
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.8934208
Coefficient of variation (CV)	0.18366481
Kurtosis	20.390093
Mean	10.30911
Median Absolute Deviation (MAD)	1
Skewness	1.9691513
Sum	232656
Variance	3.5850422
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	2.405028932 × 10^-29

Histogram with fixed size bins (bins=22)

Gap statistics

number of gaps	29
min	3 days
max	8 weeks and 6 days
mean	1 week, 8 hours and 16 minutes
std	1 week, 3 days and 19 hours

Value	Count	Frequency (%)
10	9450	41.9%
11	6420	28.4%
9	3972	17.6%
12	1018	4.5%
8	612	2.7%
13	236	1.0%
0	128	0.6%
14	116	0.5%
7	104	0.5%
23	80	0.4%
Other values (12)	432	1.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	128	0.6%
1	12	0.1%
3	16	0.1%
5	4	< 0.1%
6	20	0.1%
7	104	0.5%
8	612	2.7%
9	3972	17.6%
10	9450	41.9%
11	6420	28.4%

Value	Count	Frequency (%)
23	80	0.4%
22	60	0.3%
21	60	0.3%
20	68	0.3%
19	52	0.2%
18	36	0.2%
17	20	0.1%
16	40	0.2%
15	44	0.2%
14	116	0.5%

ACF and PACF

O3 AQI
Numeric time series

HIGH CORRELATION NON STATIONARY SEASONAL

Distinct	82
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	39.556806
Minimum	1
Maximum	135
Zeros	0
Zeros (%)	0.0%
Memory size	352.6 KiB

Quantile statistics

Minimum	1
5-th percentile	14
Q1	28
median	38
Q3	47
95-th percentile	77
Maximum	135
Range	134
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	18.19625
Coefficient of variation (CV)	0.46000302
Kurtosis	2.4901098
Mean	39.556806
Median Absolute Deviation (MAD)	9
Skewness	1.1400679
Sum	892718
Variance	331.10352
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	3.060826789 × 10^-11

Histogram with fixed size bins (bins=50)

Gap statistics

number of gaps	29
min	3 days
max	8 weeks and 6 days
mean	1 week, 8 hours and 16 minutes
std	1 week, 3 days and 19 hours

Value	Count	Frequency (%)
42	1092	4.8%
47	934	4.1%
36	908	4.0%
31	854	3.8%
44	686	3.0%
41	626	2.8%
37	604	2.7%
46	596	2.6%
25	596	2.6%
40	576	2.6%
Other values (72)	15096	66.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	8	< 0.1%
2	4	< 0.1%
3	52	0.2%
4	32	0.1%
5	44	0.2%
6	48	0.2%
7	84	0.4%
8	156	0.7%
9	100	0.4%
10	92	0.4%

Value	Count	Frequency (%)
135	4	< 0.1%
132	4	< 0.1%
129	8	< 0.1%
122	16	0.1%
119	8	< 0.1%
116	8	< 0.1%
115	12	0.1%
114	20	0.1%
112	4	< 0.1%
111	12	0.1%

ACF and PACF

SO2 Units
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.6 KiB

Parts per billion	22568

Length

Max length	17
Median length	17
Mean length	17
Min length	17

Characters and Unicode

Total characters	383656
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Parts per billion
2nd row	Parts per billion
3rd row	Parts per billion
4th row	Parts per billion
5th row	Parts per billion

Common Values

Value	Count	Frequency (%)
Parts per billion	22568	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
parts	22568	33.3%
per	22568	33.3%
billion	22568	33.3%

Most occurring characters

Value	Count	Frequency (%)
r	45136	11.8%
	45136	11.8%
i	45136	11.8%
l	45136	11.8%
P	22568	5.9%
a	22568	5.9%
t	22568	5.9%
s	22568	5.9%
p	22568	5.9%
e	22568	5.9%
Other values (3)	67704	17.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	383656	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	45136	11.8%
	45136	11.8%
i	45136	11.8%
l	45136	11.8%
P	22568	5.9%
a	22568	5.9%
t	22568	5.9%
s	22568	5.9%
p	22568	5.9%
e	22568	5.9%
Other values (3)	67704	17.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	383656	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	45136	11.8%
	45136	11.8%
i	45136	11.8%
l	45136	11.8%
P	22568	5.9%
a	22568	5.9%
t	22568	5.9%
s	22568	5.9%
p	22568	5.9%
e	22568	5.9%
Other values (3)	67704	17.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	383656	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	45136	11.8%
	45136	11.8%
i	45136	11.8%
l	45136	11.8%
P	22568	5.9%
a	22568	5.9%
t	22568	5.9%
s	22568	5.9%
p	22568	5.9%
e	22568	5.9%
Other values (3)	67704	17.6%

SO2 Mean
Numeric time series

HIGH CORRELATION NON STATIONARY SEASONAL ZEROS

Distinct	1317
Distinct (%)	5.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.7070794
Minimum	0
Maximum	12.166667
Zeros	708
Zeros (%)	3.1%
Memory size	352.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0.075
Q1	0.875
median	1.325
Q3	2.25
95-th percentile	4.391304
Maximum	12.166667
Range	12.166667
Interquartile range (IQR)	1.375

Descriptive statistics

Standard deviation	1.4038768
Coefficient of variation (CV)	0.82238519
Kurtosis	6.3707314
Mean	1.7070794
Median Absolute Deviation (MAD)	0.675
Skewness	1.9544034
Sum	38525.368
Variance	1.9708702
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	8.147275733 × 10^-18

Histogram with fixed size bins (bins=50)

Gap statistics

number of gaps	29
min	3 days
max	8 weeks and 6 days
mean	1 week, 8 hours and 16 minutes
std	1 week, 3 days and 19 hours

Value	Count	Frequency (%)
1	1054	4.7%
0	708	3.1%
1.083333	262	1.2%
1.125	236	1.0%
2	222	1.0%
1.25	222	1.0%
1.041667	214	0.9%
1.075	198	0.9%
1.5	196	0.9%
1.166667	178	0.8%
Other values (1307)	19078	84.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	708	3.1%
0.0375	110	0.5%
0.041667	110	0.5%
0.042857	38	0.2%
0.043478	24	0.1%
0.045455	10	< 0.1%
0.047619	4	< 0.1%
0.05	14	0.1%
0.052632	2	< 0.1%
0.055556	2	< 0.1%

Value	Count	Frequency (%)
12.166667	2	< 0.1%
12.125	2	< 0.1%
12.083333	2	< 0.1%
12.05	2	< 0.1%
11.766667	2	< 0.1%
11.625	4	< 0.1%
11.6	2	< 0.1%
11.5875	2	< 0.1%
10.952381	2	< 0.1%
10.916667	2	< 0.1%

ACF and PACF

SO2 1st Max Value
Numeric time series

HIGH CORRELATION NON STATIONARY SEASONAL ZEROS

Distinct	87
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.6576391
Minimum	0
Maximum	69
Zeros	708
Zeros (%)	3.1%
Memory size	352.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0.6
Q1	1.6
median	3
Q3	5
95-th percentile	10
Maximum	69
Range	69
Interquartile range (IQR)	3.4

Descriptive statistics

Standard deviation	3.1020485
Coefficient of variation (CV)	0.8481013
Kurtosis	24.467107
Mean	3.6576391
Median Absolute Deviation (MAD)	1.6
Skewness	2.7722686
Sum	82545.6
Variance	9.622705
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	2.796441733 × 10^-16

Histogram with fixed size bins (bins=50)

Gap statistics

number of gaps	29
min	3 days
max	8 weeks and 6 days
mean	1 week, 8 hours and 16 minutes
std	1 week, 3 days and 19 hours

Value	Count	Frequency (%)
2	3443	15.3%
1	2904	12.9%
3	2408	10.7%
4	1824	8.1%
5	1284	5.7%
6	929	4.1%
1.3	880	3.9%
1.6	850	3.8%
2.3	717	3.2%
0	708	3.1%
Other values (77)	6621	29.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	708	3.1%
0.1	2	< 0.1%
0.2	4	< 0.1%
0.3	266	1.2%
0.4	12	0.1%
0.5	12	0.1%
0.6	250	1.1%
0.7	4	< 0.1%
0.8	12	0.1%
0.9	10	< 0.1%

Value	Count	Frequency (%)
69	2	< 0.1%
42	2	< 0.1%
29	2	< 0.1%
28	2	< 0.1%
26	2	< 0.1%
25.6	2	< 0.1%
24.3	2	< 0.1%
24	6	< 0.1%
23	4	< 0.1%
22.6	2	< 0.1%

ACF and PACF

SO2 1st Max Hour
Numeric time series

NON STATIONARY SEASONAL ZEROS

Distinct	24
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	10.217742
Minimum	0
Maximum	23
Zeros	2732
Zeros (%)	12.1%
Memory size	352.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	8
Q3	20
95-th percentile	23
Maximum	23
Range	23
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	8.4062502
Coefficient of variation (CV)	0.82271115
Kurtosis	-1.3038806
Mean	10.217742
Median Absolute Deviation (MAD)	6
Skewness	0.46187117
Sum	230594
Variance	70.665043
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	9.647924471 × 10^-29

Histogram with fixed size bins (bins=24)

Gap statistics

number of gaps	29
min	3 days
max	8 weeks and 6 days
mean	1 week, 8 hours and 16 minutes
std	1 week, 3 days and 19 hours

Value	Count	Frequency (%)
23	3919	17.4%
8	3056	13.5%
2	3002	13.3%
0	2732	12.1%
5	1682	7.5%
11	1373	6.1%
22	936	4.1%
20	842	3.7%
7	842	3.7%
6	820	3.6%
Other values (14)	3364	14.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2732	12.1%
1	426	1.9%
2	3002	13.3%
3	230	1.0%
4	272	1.2%
5	1682	7.5%
6	820	3.6%
7	842	3.7%
8	3056	13.5%
9	581	2.6%

Value	Count	Frequency (%)
23	3919	17.4%
22	936	4.1%
21	757	3.4%
20	842	3.7%
19	150	0.7%
18	24	0.1%
17	102	0.5%
16	16	0.1%
15	18	0.1%
14	275	1.2%

ACF and PACF

SO2 AQI
Numeric time series

HIGH CORRELATION MISSING NON STATIONARY SEASONAL ZEROS

Distinct	30
Distinct (%)	0.3%
Missing	11281
Missing (%)	50.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.8228936
Minimum	0
Maximum	92
Zeros	384
Zeros (%)	1.7%
Memory size	352.6 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	4
Q3	7
95-th percentile	16
Maximum	92
Range	92
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	4.9061452
Coefficient of variation (CV)	0.84256137
Kurtosis	22.826395
Mean	5.8228936
Median Absolute Deviation (MAD)	3
Skewness	2.695429
Sum	65723
Variance	24.070261
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	6.377439342 × 10^-12

Histogram with fixed size bins (bins=30)

Gap statistics

number of gaps	29
min	3 days
max	8 weeks and 6 days
mean	1 week, 8 hours and 16 minutes
std	1 week, 3 days and 19 hours

Value	Count	Frequency (%)
3	2380	10.5%
4	1794	7.9%
1	1614	7.2%
6	1362	6.0%
7	1012	4.5%
9	731	3.2%
10	512	2.3%
11	402	1.8%
0	384	1.7%
13	302	1.3%
Other values (20)	794	3.5%
(Missing)	11281	50.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	384	1.7%
1	1614	7.2%
3	2380	10.5%
4	1794	7.9%
6	1362	6.0%
7	1012	4.5%
9	731	3.2%
10	512	2.3%
11	402	1.8%
13	302	1.3%

Value	Count	Frequency (%)
92	2	< 0.1%
59	2	< 0.1%
41	2	< 0.1%
40	2	< 0.1%
37	2	< 0.1%
34	6	< 0.1%
33	4	< 0.1%
31	6	< 0.1%
30	8	< 0.1%
29	2	< 0.1%

ACF and PACF

CO Units
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.6 KiB

Parts per million	22568

Length

Max length	17
Median length	17
Mean length	17
Min length	17

Characters and Unicode

Total characters	383656
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Parts per million
2nd row	Parts per million
3rd row	Parts per million
4th row	Parts per million
5th row	Parts per million

Common Values

Value	Count	Frequency (%)
Parts per million	22568	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
parts	22568	33.3%
per	22568	33.3%
million	22568	33.3%

Most occurring characters

Value	Count	Frequency (%)
r	45136	11.8%
	45136	11.8%
i	45136	11.8%
l	45136	11.8%
P	22568	5.9%
a	22568	5.9%
t	22568	5.9%
s	22568	5.9%
p	22568	5.9%
e	22568	5.9%
Other values (3)	67704	17.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	383656	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	45136	11.8%
	45136	11.8%
i	45136	11.8%
l	45136	11.8%
P	22568	5.9%
a	22568	5.9%
t	22568	5.9%
s	22568	5.9%
p	22568	5.9%
e	22568	5.9%
Other values (3)	67704	17.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	383656	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	45136	11.8%
	45136	11.8%
i	45136	11.8%
l	45136	11.8%
P	22568	5.9%
a	22568	5.9%
t	22568	5.9%
s	22568	5.9%
p	22568	5.9%
e	22568	5.9%
Other values (3)	67704	17.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	383656	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	45136	11.8%
	45136	11.8%
i	45136	11.8%
l	45136	11.8%
P	22568	5.9%
a	22568	5.9%
t	22568	5.9%
s	22568	5.9%
p	22568	5.9%
e	22568	5.9%
Other values (3)	67704	17.6%

CO Mean
Numeric time series

HIGH CORRELATION NON STATIONARY SEASONAL

Distinct	1202
Distinct (%)	5.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.5812409
Minimum	0
Maximum	3.575
Zeros	28
Zeros (%)	0.1%
Memory size	352.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0.145833
Q1	0.2875
median	0.454167
Q3	0.75
95-th percentile	1.475
Maximum	3.575
Range	3.575
Interquartile range (IQR)	0.4625

Descriptive statistics

Standard deviation	0.4256152
Coefficient of variation (CV)	0.73225267
Kurtosis	3.6557701
Mean	0.5812409
Median Absolute Deviation (MAD)	0.204167
Skewness	1.7096316
Sum	13117.445
Variance	0.1811483
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	1.097256943 × 10^-10

Histogram with fixed size bins (bins=50)

Gap statistics

number of gaps	29
min	3 days
max	8 weeks and 6 days
mean	1 week, 8 hours and 16 minutes
std	1 week, 3 days and 19 hours

Value	Count	Frequency (%)
0.3	192	0.9%
0.25	178	0.8%
0.329167	174	0.8%
0.2625	172	0.8%
0.2	168	0.7%
0.316667	168	0.7%
0.270833	160	0.7%
0.233333	160	0.7%
0.308333	156	0.7%
0.366667	154	0.7%
Other values (1192)	20886	92.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	28	0.1%
0.004167	6	< 0.1%
0.008333	8	< 0.1%
0.0125	2	< 0.1%
0.016667	22	0.1%
0.018182	2	< 0.1%
0.02	2	< 0.1%
0.020833	12	0.1%
0.021429	2	< 0.1%
0.021739	2	< 0.1%

Value	Count	Frequency (%)
3.575	2	< 0.1%
3.136364	2	< 0.1%
3.0125	2	< 0.1%
2.991667	2	< 0.1%
2.958333	2	< 0.1%
2.891667	2	< 0.1%
2.8875	2	< 0.1%
2.813043	2	< 0.1%
2.7875	2	< 0.1%
2.770833	2	< 0.1%

ACF and PACF

CO 1st Max Value
Numeric time series

HIGH CORRELATION NON STATIONARY SEASONAL

Distinct	72
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.2530397
Minimum	0
Maximum	8.1
Zeros	28
Zeros (%)	0.1%
Memory size	352.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0.3
Q1	0.5
median	1
Q3	1.7
95-th percentile	3.3
Maximum	8.1
Range	8.1
Interquartile range (IQR)	1.2

Descriptive statistics

Standard deviation	1.0102907
Coefficient of variation (CV)	0.80627192
Kurtosis	3.6041203
Mean	1.2530397
Median Absolute Deviation (MAD)	0.5
Skewness	1.6875976
Sum	28278.6
Variance	1.0206874
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	1.609302893 × 10^-10

Histogram with fixed size bins (bins=50)

Gap statistics

number of gaps	29
min	3 days
max	8 weeks and 6 days
mean	1 week, 8 hours and 16 minutes
std	1 week, 3 days and 19 hours

Value	Count	Frequency (%)
0.4	1896	8.4%
0.5	1704	7.6%
0.3	1636	7.2%
0.6	1476	6.5%
0.7	1286	5.7%
0.8	1184	5.2%
0.9	1014	4.5%
1	1000	4.4%
1.1	992	4.4%
1.2	864	3.8%
Other values (62)	9516	42.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	28	0.1%
0.1	196	0.9%
0.2	794	3.5%
0.3	1636	7.2%
0.4	1896	8.4%
0.5	1704	7.6%
0.6	1476	6.5%
0.7	1286	5.7%
0.8	1184	5.2%
0.9	1014	4.5%

Value	Count	Frequency (%)
8.1	2	< 0.1%
8	2	< 0.1%
7.6	2	< 0.1%
7.3	2	< 0.1%
7.2	4	< 0.1%
7	2	< 0.1%
6.9	6	< 0.1%
6.6	2	< 0.1%
6.5	2	< 0.1%
6.4	6	< 0.1%

ACF and PACF

CO 1st Max Hour
Real number (ℝ)

ZEROS

Distinct	24
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.6669178

Minimum	0
Maximum	23
Zeros	4213
Zeros (%)	18.7%
Negative	0
Negative (%)	0.0%
Memory size	352.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	6
Q3	21
95-th percentile	23
Maximum	23
Range	23
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	9.0495581
Coefficient of variation (CV)	0.93613687
Kurtosis	-1.4761671
Mean	9.6669178
Median Absolute Deviation (MAD)	6
Skewness	0.47222081
Sum	218163
Variance	81.894502
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
0	4213	18.7%
23	3364	14.9%
1	1808	8.0%
6	1753	7.8%
22	1609	7.1%
5	1412	6.3%
7	1343	6.0%
2	1294	5.7%
21	1280	5.7%
8	967	4.3%
Other values (14)	3525	15.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4213	18.7%
1	1808	8.0%
2	1294	5.7%
3	712	3.2%
4	500	2.2%
5	1412	6.3%
6	1753	7.8%
7	1343	6.0%
8	967	4.3%
9	400	1.8%

Value	Count	Frequency (%)
23	3364	14.9%
22	1609	7.1%
21	1280	5.7%
20	733	3.2%
19	324	1.4%
18	86	0.4%
17	60	0.3%
16	42	0.2%
15	42	0.2%
14	46	0.2%

CO AQI
Numeric time series

HIGH CORRELATION MISSING NON STATIONARY SEASONAL

Distinct	52
Distinct (%)	0.5%
Missing	11287
Missing (%)	50.0%
Infinite	0
Infinite (%)	0.0%

Mean	11.509618
Minimum	0
Maximum	59
Zeros	16
Zeros (%)	0.1%
Memory size	352.6 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	5
median	9
Q3	15
95-th percentile	30
Maximum	59
Range	59
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	8.8426413
Coefficient of variation (CV)	0.76828278
Kurtosis	2.8454352
Mean	11.509618
Median Absolute Deviation (MAD)	4
Skewness	1.5586653
Sum	129840
Variance	78.192306
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	3.281995571 × 10^-8

Histogram with fixed size bins (bins=50)

Gap statistics

number of gaps	29
min	3 days
max	8 weeks and 6 days
mean	1 week, 11 hours and 35 minutes
std	1 week, 3 days and 18 hours

Value	Count	Frequency (%)
5	1146	5.1%
3	1102	4.9%
6	972	4.3%
7	790	3.5%
8	708	3.1%
9	684	3.0%
2	559	2.5%
10	534	2.4%
13	528	2.3%
11	492	2.2%
Other values (42)	3766	16.7%
(Missing)	11287	50.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	16	0.1%
1	156	0.7%
2	559	2.5%
3	1102	4.9%
5	1146	5.1%
6	972	4.3%
7	790	3.5%
8	708	3.1%
9	684	3.0%
10	534	2.4%

Value	Count	Frequency (%)
59	2	< 0.1%
57	2	< 0.1%
56	6	< 0.1%
55	4	< 0.1%
54	4	< 0.1%
52	6	< 0.1%
51	6	< 0.1%
50	2	< 0.1%
49	4	< 0.1%
48	10	< 0.1%

ACF and PACF

Auto

Heatmap
Table

	CO 1st Max Hour	CO 1st Max Value	CO AQI	CO Mean	NO2 1st Max Hour	NO2 1st Max Value	NO2 AQI	NO2 Mean	O3 1st Max Hour	O3 1st Max Value	O3 AQI	O3 Mean	SO2 1st Max Hour	SO2 1st Max Value	SO2 AQI	SO2 Mean
CO 1st Max Hour	1.000	0.177	0.054	0.098	0.403	0.221	0.221	0.182	-0.074	-0.085	-0.089	-0.177	0.382	0.140	0.140	0.082
CO 1st Max Value	0.177	1.000	1.000	0.906	0.107	0.734	0.734	0.812	-0.229	-0.454	-0.469	-0.659	0.278	0.706	0.722	0.547
CO AQI	0.054	1.000	1.000	0.955	0.048	0.722	0.722	0.828	-0.248	-0.500	-0.514	-0.690	0.243	0.713	0.726	0.561
CO Mean	0.098	0.906	0.955	1.000	0.107	0.693	0.693	0.826	-0.240	-0.491	-0.501	-0.684	0.253	0.677	0.688	0.550
NO2 1st Max Hour	0.403	0.107	0.048	0.107	1.000	0.244	0.244	0.177	0.001	-0.031	-0.031	-0.167	0.356	0.080	0.081	0.046
NO2 1st Max Value	0.221	0.734	0.722	0.693	0.244	1.000	1.000	0.855	-0.110	-0.172	-0.188	-0.449	0.322	0.624	0.638	0.493
NO2 AQI	0.221	0.734	0.722	0.693	0.244	1.000	1.000	0.855	-0.110	-0.172	-0.188	-0.449	0.322	0.624	0.638	0.493
NO2 Mean	0.182	0.812	0.828	0.826	0.177	0.855	0.855	1.000	-0.217	-0.474	-0.490	-0.733	0.314	0.701	0.712	0.577
O3 1st Max Hour	-0.074	-0.229	-0.248	-0.240	0.001	-0.110	-0.110	-0.217	1.000	0.378	0.376	0.357	-0.121	-0.181	-0.179	-0.165
O3 1st Max Value	-0.085	-0.454	-0.500	-0.491	-0.031	-0.172	-0.172	-0.474	0.378	1.000	0.994	0.897	-0.175	-0.344	-0.342	-0.289
O3 AQI	-0.089	-0.469	-0.514	-0.501	-0.031	-0.188	-0.188	-0.490	0.376	0.994	1.000	0.898	-0.177	-0.365	-0.365	-0.307
O3 Mean	-0.177	-0.659	-0.690	-0.684	-0.167	-0.449	-0.449	-0.733	0.357	0.897	0.898	1.000	-0.290	-0.525	-0.528	-0.429
SO2 1st Max Hour	0.382	0.278	0.243	0.253	0.356	0.322	0.322	0.314	-0.121	-0.175	-0.177	-0.290	1.000	0.301	0.386	0.194
SO2 1st Max Value	0.140	0.706	0.713	0.677	0.080	0.624	0.624	0.701	-0.181	-0.344	-0.365	-0.525	0.301	1.000	1.000	0.867
SO2 AQI	0.140	0.722	0.726	0.688	0.081	0.638	0.638	0.712	-0.179	-0.342	-0.365	-0.528	0.386	1.000	1.000	0.853
SO2 Mean	0.082	0.547	0.561	0.550	0.046	0.493	0.493	0.577	-0.165	-0.289	-0.307	-0.429	0.194	0.867	0.853	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	State Code	County Code	Site Num	Address	State	County	City	Date Local	NO2 Units	NO2 Mean	NO2 1st Max Value	NO2 1st Max Hour	NO2 AQI	O3 Units	O3 Mean	O3 1st Max Value	O3 1st Max Hour	O3 AQI	SO2 Units	SO2 Mean	SO2 1st Max Value	SO2 1st Max Hour	SO2 AQI	CO Units	CO Mean	CO 1st Max Value	CO 1st Max Hour	CO AQI
2000-01-01	4	13	3002	1645 E ROOSEVELT ST-CENTRAL PHOENIX STN	Arizona	Maricopa	Phoenix	2000-01-01	Parts per billion	19.041667	49.0	19	46	Parts per million	0.022500	0.040	10	34	Parts per billion	3.000000	9.0	21	13.0	Parts per million	1.145833	4.2	21	NaN
2000-01-01	4	13	3002	1645 E ROOSEVELT ST-CENTRAL PHOENIX STN	Arizona	Maricopa	Phoenix	2000-01-01	Parts per billion	19.041667	49.0	19	46	Parts per million	0.022500	0.040	10	34	Parts per billion	3.000000	9.0	21	13.0	Parts per million	0.878947	2.2	23	25.0
2000-01-01	4	13	3002	1645 E ROOSEVELT ST-CENTRAL PHOENIX STN	Arizona	Maricopa	Phoenix	2000-01-01	Parts per billion	19.041667	49.0	19	46	Parts per million	0.022500	0.040	10	34	Parts per billion	2.975000	6.6	23	NaN	Parts per million	1.145833	4.2	21	NaN
2000-01-01	4	13	3002	1645 E ROOSEVELT ST-CENTRAL PHOENIX STN	Arizona	Maricopa	Phoenix	2000-01-01	Parts per billion	19.041667	49.0	19	46	Parts per million	0.022500	0.040	10	34	Parts per billion	2.975000	6.6	23	NaN	Parts per million	0.878947	2.2	23	25.0
2000-01-02	4	13	3002	1645 E ROOSEVELT ST-CENTRAL PHOENIX STN	Arizona	Maricopa	Phoenix	2000-01-02	Parts per billion	22.958333	36.0	19	34	Parts per million	0.013375	0.032	10	27	Parts per billion	1.958333	3.0	22	4.0	Parts per million	0.850000	1.6	23	NaN
2000-01-02	4	13	3002	1645 E ROOSEVELT ST-CENTRAL PHOENIX STN	Arizona	Maricopa	Phoenix	2000-01-02	Parts per billion	22.958333	36.0	19	34	Parts per million	0.013375	0.032	10	27	Parts per billion	1.958333	3.0	22	4.0	Parts per million	1.066667	2.3	0	26.0
2000-01-02	4	13	3002	1645 E ROOSEVELT ST-CENTRAL PHOENIX STN	Arizona	Maricopa	Phoenix	2000-01-02	Parts per billion	22.958333	36.0	19	34	Parts per million	0.013375	0.032	10	27	Parts per billion	1.937500	2.6	23	NaN	Parts per million	0.850000	1.6	23	NaN
2000-01-02	4	13	3002	1645 E ROOSEVELT ST-CENTRAL PHOENIX STN	Arizona	Maricopa	Phoenix	2000-01-02	Parts per billion	22.958333	36.0	19	34	Parts per million	0.013375	0.032	10	27	Parts per billion	1.937500	2.6	23	NaN	Parts per million	1.066667	2.3	0	26.0
2000-01-03	4	13	3002	1645 E ROOSEVELT ST-CENTRAL PHOENIX STN	Arizona	Maricopa	Phoenix	2000-01-03	Parts per billion	38.125000	51.0	8	48	Parts per million	0.007958	0.016	9	14	Parts per billion	5.200000	8.3	20	NaN	Parts per million	1.762500	2.5	8	28.0
2000-01-03	4	13	3002	1645 E ROOSEVELT ST-CENTRAL PHOENIX STN	Arizona	Maricopa	Phoenix	2000-01-03	Parts per billion	38.125000	51.0	8	48	Parts per million	0.007958	0.016	9	14	Parts per billion	5.200000	8.3	20	NaN	Parts per million	1.929167	4.4	8	NaN

	State Code	County Code	Site Num	Address	State	County	City	Date Local	NO2 Units	NO2 Mean	NO2 1st Max Value	NO2 1st Max Hour	NO2 AQI	O3 Units	O3 Mean	O3 1st Max Value	O3 1st Max Hour	O3 AQI	SO2 Units	SO2 Mean	SO2 1st Max Value	SO2 1st Max Hour	SO2 AQI	CO Units	CO Mean	CO 1st Max Value	CO 1st Max Hour	CO AQI
2015-12-29	4	13	3002	1645 E ROOSEVELT ST-CENTRAL PHOENIX STN	Arizona	Maricopa	Phoenix	2015-12-29	Parts per billion	25.000000	46.0	20	43	Parts per million	0.016042	0.037	10	34	Parts per billion	1.434783	4.0	0	6.0	Parts per million	0.666667	1.3	2	15.0
2015-12-29	4	13	3002	1645 E ROOSEVELT ST-CENTRAL PHOENIX STN	Arizona	Maricopa	Phoenix	2015-12-29	Parts per billion	25.000000	46.0	20	43	Parts per million	0.016042	0.037	10	34	Parts per billion	1.500000	3.0	2	NaN	Parts per million	0.626087	1.4	0	NaN
2015-12-30	4	13	3002	1645 E ROOSEVELT ST-CENTRAL PHOENIX STN	Arizona	Maricopa	Phoenix	2015-12-30	Parts per billion	28.904762	50.0	19	47	Parts per million	0.013875	0.036	10	33	Parts per billion	1.157143	2.3	23	NaN	Parts per million	0.626087	1.6	21	NaN
2015-12-30	4	13	3002	1645 E ROOSEVELT ST-CENTRAL PHOENIX STN	Arizona	Maricopa	Phoenix	2015-12-30	Parts per billion	28.904762	50.0	19	47	Parts per million	0.013875	0.036	10	33	Parts per billion	1.157143	2.3	23	NaN	Parts per million	0.612500	0.9	1	10.0
2015-12-30	4	13	3002	1645 E ROOSEVELT ST-CENTRAL PHOENIX STN	Arizona	Maricopa	Phoenix	2015-12-30	Parts per billion	28.904762	50.0	19	47	Parts per million	0.013875	0.036	10	33	Parts per billion	1.130435	3.0	21	4.0	Parts per million	0.626087	1.6	21	NaN
2015-12-30	4	13	3002	1645 E ROOSEVELT ST-CENTRAL PHOENIX STN	Arizona	Maricopa	Phoenix	2015-12-30	Parts per billion	28.904762	50.0	19	47	Parts per million	0.013875	0.036	10	33	Parts per billion	1.130435	3.0	21	4.0	Parts per million	0.612500	0.9	1	10.0
2015-12-31	4	13	3002	1645 E ROOSEVELT ST-CENTRAL PHOENIX STN	Arizona	Maricopa	Phoenix	2015-12-31	Parts per billion	34.125000	45.0	9	42	Parts per million	0.010000	0.019	10	18	Parts per billion	2.041667	5.0	8	7.0	Parts per million	0.958333	1.3	2	15.0
2015-12-31	4	13	3002	1645 E ROOSEVELT ST-CENTRAL PHOENIX STN	Arizona	Maricopa	Phoenix	2015-12-31	Parts per billion	34.125000	45.0	9	42	Parts per million	0.010000	0.019	10	18	Parts per billion	2.012500	4.0	8	NaN	Parts per million	0.925000	2.0	8	NaN
2015-12-31	4	13	3002	1645 E ROOSEVELT ST-CENTRAL PHOENIX STN	Arizona	Maricopa	Phoenix	2015-12-31	Parts per billion	34.125000	45.0	9	42	Parts per million	0.010000	0.019	10	18	Parts per billion	2.041667	5.0	8	7.0	Parts per million	0.925000	2.0	8	NaN
2015-12-31	4	13	3002	1645 E ROOSEVELT ST-CENTRAL PHOENIX STN	Arizona	Maricopa	Phoenix	2015-12-31	Parts per billion	34.125000	45.0	9	42	Parts per million	0.010000	0.019	10	18	Parts per billion	2.012500	4.0	8	NaN	Parts per million	0.958333	1.3	2	15.0

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)